Multi-Modal Cross Learning for an FMCW Radar Assisted by Thermal and RGB Cameras to Monitor Gestures and Cooking Processes

Autor: Marco Altmann, Peter Ott, Nicolaj C. Stache, Christian Waldschmidt

Publikováno v: IEEE Access, Vol 9, Pp 22295-22303 (2021)

This paper proposes a multi-modal cross learning approach to augment the neural network training phase by additional sensor data. The approach is multi-modal during training (i.e., radar Range-Doppler maps, thermal camera images, and RGB camera image

Externí odkaz: https://doaj.org/article/5ee8db7184d44cbd97af24b39d9038f2

A Visual Definition of Caregiving: Caring About, Caring For, and the Feminization of Care

Autor: Rachel D. Davidson, Lara C. Stache

Publikováno v: Refiguring Motherhood Beyond Biology ISBN: 9781003311799

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::45b6f26f9c2f8234f625d9de1f41dd10
https://doi.org/10.4324/9781003311799-17

Multi-Modal Cross Learning for an FMCW Radar Assisted by Thermal and RGB Cameras to Monitor Gestures and Cooking Processes

Autor: Peter Ott, Marco Altmann, Christian Waldschmidt, Nicolaj C. Stache

Publikováno v: IEEE Access, Vol 9, Pp 22295-22303 (2021)

This paper proposes a multi-modal cross learning approach to augment the neural network training phase by additional sensor data. The approach is multi-modal during training (i.e., radar Range-Doppler maps, thermal camera images, and RGB camera image

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e1809d7e8d918dd280595e41feef6f
https://ieeexplore.ieee.org/document/9345685/

Sign language segmentation with temporal convolutional networks

Autor: Nicolaj C. Stache, Katrin Renz, Gül Varol, Samuel Albanie

Publikováno v: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, ON, Canada. ⟨10.1109/ICASSP39728.2021.9413817⟩
ICASSP

The objective of this work is to determine the location of temporal boundaries between signs in continuous sign language videos. Our approach employs 3D convolutional neural network representations with iterative temporal segment refinement to resolv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68e3e110c752da73ac48b985290f97a3
https://hal.archives-ouvertes.fr/hal-03513405

A Cognitive FMCW Radar to Minimize a Sequence of Range-Doppler Measurements

Autor: Peter Ott, Marco Altmann, Christian Waldschmidt, Nicolaj C. Stache, Dmitrii Kozlov

Publikováno v: 2020 17th European Radar Conference (EuRAD).

This paper proposes a cognitive radar setup to learn the minimal sequence of Range-Doppler measurements for accurate multi-target detection with adaptive parameters. This minimal measurement sequence is achieved by a novel reward definition in a Rein

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e41f1b6dee290db07e3b5fbc33e5a98d
https://doi.org/10.1109/eurad48048.2021.00065